The world is transitioning towards the Fourth Industrial Revolution (4IR) or Industry 4.0, and it is crucial to be proactive in adapting to these changes rather than being passive and reactive. Smart factories, robotics for remote site operations, driverless vehicles, and AI-powered legal and judicial systems are just some examples of the new efficiencies emerging
Energy and utility companies are facing a new landscape where they must integrate alternative energy, improve customer understanding, and strengthen relationships, while also providing reliable, safe, and affordable energy to all. These organizations can use analytics to improve agility, reduce costs, and enhance asset reliability, as well as better position themselves for the next big
In this post, we will be discussing the challenges of Big Data in the Telecommunications Industry, including Volume, Variety, Complexity, and Velocity. Volume: With the rise of 5G mobile networks, operational data generated from each call or session is increasing dramatically. The addition of GPS, location-based services, and social media is adding to this deluge
Background Information MINDEF, the Ministry of Defence of the nation (Malaysia) in the Asia Pacific region, has the responsibility of executing government defense policy. Their main goals are to protect the country and its interests and to enhance global peace and stability. MINDEF, along with their appointed Prime Contractor, has chosen E-SPIN’s Vulnerability Management (VM),
When enterprises enable IT-OT convergence, they embarked into data-rich sectors, making them to become critically in need of having the most effective technology to utilise and transform the data into useful insights. For a certain simple data analysing process, hiring data scientists and even machine learning engineer is unfortunately a cost consuming action. No-code AI
With data being the center of everything in determining the success and growth of organisation today, the need to implement an Artificial intelligence (AI) technology is undeniable. Through AI technology implementation, organisations will be able to better enhance productivity and efficiency. Over the years, adoption of AI technology in organisation or industries is always hinder
As the business world evolves, companies in all industries must adapt in order to stay competitive. The banking sector is no exception, as it faces new challenges such as the rise of internet and digital-first banking, fintech and insurtech, and the shift towards cashless societies through mobile payments. With increased competition from other sectors and
In the recent years, the world had come to realise the extensive need to accelerate digital transformation where subsequently ‘every company need to be a software company’ had becoming an important vision in organisations to let them move towards a resilient and successful business. Significantly, this vision actually means that regardless of industries, an organisation
Artificial intelligence (AI) and robotics (or robotic process automation RPA) age is no longer the future, but something all the sectors and industries are attempting to realise them today. Just like all the revolution and disruption to the old and dated business models, it will rapidly transform the world into the fourth industrial revolution (4IR)